Abstract
Anthracyclines, chemotherapeutic agents that have contributed to significant improvements in cancer survival, also carry risk of both acute and chronic cardiotoxicity. This has led to significantly elevated risks of cardiac morbidity and mortality among cancer survivors treated with these agents. Certain treatment related, demographic, and medical factors increase an individual’s risk of anthracycline induced cardiotoxicity; however, significant variability among those affected suggests that there is an underlying genetic predisposition to anthracycline induced cardiotoxicity. The current narrative review seeks to summarize the literature to date that has identified genetic variants associated with anthracycline induced cardiotoxicity. These include variants found in genes that encode proteins associated with anthracycline transportation and metabolism, those that encode proteins associated with the generation of reactive oxygen species, and those known to be associated with cardiac disease. While there is strong evidence that susceptibility to anthracycline induced cardiotoxicity has genetic underpinnings, the majority of work to date has been candidate gene analyses. Future work should focus on genome-wide analyses including genome-wide association and sequencing-based studies to confirm and expand these findings.
Keywords: Anthracyclines, Cancer, Cardiotoxicity, SNPs
INTRODUCTION:
Anthracyclines are a class of chemotherapeutics that have been indispensable to improvements in cancer survival, particularly for common childhood and young adult cancers such as leukemia, lymphoma, sarcoma, as well as breast cancer.1 Mechanisms of their antitumor activity include DNA intercalation, production of hydroxyl free radicals, and inhibition of topoisomerase II, an enzyme that plays an important role in DNA replication and transcription.2
The use of anthracyclines is complicated by risk of acute and chronic cardiotoxicity, particularly cardiomyopathy and heart failure (HF). Estimates of acute and chronic cardiotoxicity attributable to anthracyclines range up to 5% and 16% of childhood cancer patients, respectively, with a much greater percentage experiencing subclinical cardiotoxicity.3, 4 Among childhood cancer patients receiving anthracyclines, risk of HF is dose dependent with a 30-year incidence of 7% among those who received >250 mg/m2, compared with 2% among those who received lower doses.5 This translates into an almost 8-fold increased risk of cardiac death compared with expected rates in the general population.6
Mechanisms of anthracycline induced cardiotoxicity (ACT) are not fully understood, but studies suggest that similar processes as those responsible for their antitumor activity contribute to cardiotoxicity, particularly generation of reactive oxygen species (ROS) and direct binding to DNA leading to inhibition of topoisomerase-II mediated DNA repair and eventually cell death.7 While there are pharmacologic and surveillance strategies to decrease progression of cardiotoxicity as well as predictive tools that account for treatment exposure,8 there are currently no effective tools available to assess a patient’s individualized risk of ACT prior to starting therapy, knowledge that could be used to tailor anthracycline regimen, cardiac function monitoring, cardioprotective medications, and follow-up to reduce risk of cardiac morbidity and mortality. Uncovering genetic susceptibilities to ACT is key to improving up-front risk assessment and ultimately to developing targeted pharmacogenetic therapies for those at high risk. Clinical practice recommendations for genetic testing of certain variants prior to doxorubicin or daunorubicin, the two most commonly used anthracyclines, treatment in children, have been proposed and the use of such recommendations remains in discussion.9 Expansion of the literature focused on genetic susceptibility to ACT may help move clinical genetic screening forward. The goal of this review is to provide a summary of studies that have identified genetic variation associated with ACT, with a focus on particular genes that have been implicated in innate predisposition to ACT (Table 1, Figure 1).
Table 1:
Citation | Gene | Variant | Effect (Outcome) | Cancer Type, Age at Diagnosis, mean (SD), years | N | Follow-up Time, median(range), years | Anthracycline Type (s) |
---|---|---|---|---|---|---|---|
Semsei et al. Cell Biol Int. 2012. | ABCC1 | rs246221 | 2.5%, p=0.027 (SF decline) | Childhood ALL, 5.7 (3.8) | 235 | 6.3 (2.4–13.7) | Daunorubicin, Doxorubicin, |
Vulsteke et al. Breast Cancer Res Treat. 2015. | OR: 1.3, 95% CI: 1.1–1.4 (LVEF decline) | Breast, 50.3 (9.5) | 877 | 3.62 (0.4–9.6) | Epirubicin | ||
Semsei et al. Cell Biol Int. 2012. | rs3743527 | 5.5%, p=0.001 (SF decline) | Childhood ALL, 5.7 (3.8) | 235 | 6.3 (2.4–13.7) | Daunorubicin, Doxorubicin | |
Wojnowski et al. Circulation. 2005. | rs45511401 | OR: 6.60, 95% CI: 1.60–8.40 (acute ACT) | NHL, Range: 18–75 | 537 | Up to 5 years | Doxorubicin | |
Visscher et al. Pediatr Blood Cancer. 2013. | rs4148350 | OR: 2.40, 95% CI: 1.33–4.33 (SF≤26%) | Childhood, Range 0–18 | 218 | Range: 0.4–31.6 | Doxorubicin, Daunorubicin, Epirubicin | |
Sagi et al. BMC Cancer.2018. | ABCC2 | rs3740066 | 3.5%, p=0.007(SF decline) | Childhood ALL, 6.4 (4.3) | 622 | Range: 5–10 | Not specified |
Armenian et al. Br J Haematol. 2013. | rs8187710 | OR: 5.22, 95% CI: 1.92–13.84 (heart failure) | Leukemia, Lymphoma, Range: 3–72 | 255 | Range: 0.2–15.9 | Not specified | |
Wojnowski et al. Circulation. 2005. | rs8187694-rs8187710 | OR: 2.30, 95% CI: 1.0–5.4 (acute ACT) | NHL, Range: 18–75 | 537 | Up to 5 years | Doxorubicin | |
Krajinovi kwt al. Pharmacogenomics J. 2015. | ABCC5 | rs7627754 | 12%, p<0.0001 (LVEF decline), 8%, p=0.001 (SF decline) | Childhood ALL, Range: 0–18 | 251 | Range: 0 - >5 | Doxorubicin |
Hertz et al. Pharmacogenomics. 2016. | ABCB1 | rs1045642 | OR: 0.58, 95% CI: 0.23–1.00 (LVEF <55%) | Breast, 50 (Range:24–80) | 166 | 6.0 (1.0–20.0) | Doxorubicin |
Visscher et al. Pediatr Blood Cancer. 2013. | rs2235047 | OR: 1.79, 95% CI: 1.05–3.04 (SF≤26%) | Childhood, Range 0–18 | 218 | Range: 0.4–31.6 | Doxorubicin, Daunorubicin, Epirubicin | |
Visscher et al. Pediatr Blood Cancer. 2013. | ABCB4 | rs4148808 | OR: 1.67, 95% CI: 1.15–2.43 (SF≤26%) | Childhood, Range 0–18 | 218 | Range: 0.4–31.6 | Doxorubicin, Daunorubicin, Epirubicin |
Visscher et al. Pediatr Blood Cancer. 2013. | ADH7 | rs729147 | OR: 1.43, 95% CI: 1.02–2.01 (SF≤26%) | Childhood, Range 0–18 | 218 | Range: 0.4–31.6 | Doxorubicin, Daunorubicin, Epirubicin |
Hildebrandt et al. Sci Rep. 2017. | ATP2B1 | rs17249754 | OR: 0.26, 95% CI: 0.07–0.96 (clinical diagnosis ACT) | Childhood, Cases: 9.2 (4.7), Controls: 9.3 (5.7) | 108 | 15.8 | Not specified |
Rajic et al. Leuk Lymphoma. 2009. | CAT | rs10836235 | OR: 0.28, 95% CI: 0.09–0.87 (abnormal ECG or echocardiogram) | Childhood ALL, 6.3 (4.4) | 76 | 19.3 (6–30) | Not specified |
Blanco et al. J Clin Oncol. 2012. | CBR3 | rs1056892 | OR: 1.79, 95% CI: 1.08–2.96 (cardiomyopathy) | Childhood, 8.3 (6.0) | 487 | Range: 0.1–40.3 | Doxorubicin, Daunorubicin, Epirubicin, Idarubicin |
Hertz et al. Pharmacogenomics. 2016. | OR: 2.5, 95% CI: 1.22–5.11, (LVEF <55%) | Breast, 50 (Range: 24–80) | 166 | 6.0 (1.0–20.0) | Doxorubicin | ||
Wang et al. J Clin Oncol. 2016. | CELF4 | rs1786814 | OR: 10.2, 95% CI: 3.8–27.2 (cardiomyopathy) | Childhood, Range: 0–21 | 484 | Range: 0.1–41 | Not specified |
Wojnowski et al. Circulation. 2005. | CYBA | rs4673 | OR: 2.0, 95% CI: 1.0–3.90 (chronic ACT) | NHL, Range: 18–75 | 537 | Up to 5 years | Doxorubicin |
Megias-Vericat et al. Pharmacogenomics J. 2017. | OR: 0.3. 95% CI: 0.1–0.9 (acute cardiac dysfunction) | AML, Median 52.5 (16–78) | 225 | Mean: 37 days (95% CI: 35–39 days) | Idarubicin | ||
Sagi et al. BMC Cancer. 2018. | CYP3A5 | rs4646450 | OR: 6.94, 95% CI: 1.76–27.39 (SF<38%) | Childhood ALL, 6.4 (4.3) | 622 | Range: 0–15 | Not specified |
Ruiz-Pinto et al. Breast Cancer Res Treat. 2017. | ETFB | rs79338777 | OR: 9.00, 95% CI: 2.83–28.60 (heart failure, or SF≤27%) | Leukemia, Sarcoma, Breast, Range: 1.2–73 | 144 | Range: 1.0–27.5 | Doxorubicin, Daunorubicin, Epirubicin |
Lubieniecka et al. Front Genet. 2013. | POR | rs13240755 | OR: 3.18, 95% CI: 1.22–8.27 (LVEF reduction) | AML, Mean 48.4 (19–74) | 91 | Not specified | Daunorubicin, Mitoxantrone |
Visscher et al. Pediatr Blood Cancer. 2013. | FMO2 | rs2020870 | OR: 0.14, 95% CI: 0.03–0.59 (SF≤26%) | Childhood, Range: 0–18 | 218 | Range: 0.4–31.6 | Doxorubicin, Daunorubicin, Epirubicin |
Visscher et al. Pediatr Blood Cancer. 2013. | FMO3 | rs1736557 | OR: 0.47, 95% CI: 0.25–0.87 (SF≤26%) | Childhood, Range: 0–18 | 218 | Range: 0.4–31.6 | Doxorubicin, Daunorubicin, Epirubicin |
Singh et al. Cancer. 2020. | GSTM1 | Null genotype | OR: 2.7, 95% CI: 1.3–5.9 (AHA criteria for cardiac compromise) | Childhood, Range: 3.3 – 14.8 | 167 | Range: 1.3–17.2 | Not specified |
Wang et al. J Clin Oncol 2014. | HAS3 | rs2232228 | OR: 3.7, 95% CI: 1.3–10.2 (AHA criteria for cardiac compromise) | Childhood and adult, Range: 0–71 | 287 | Range: 0.1–41.0 | Not specified |
Armenian et al. Br J Haematol. 2013. | HFE | rs1799945 | OR: 2.58, 95% CI:1.27–5.20 (heart failure) | Leukemia, Lymphoma, Range: 3–72 | 255 | Range: 0.2–15.9 | Not specified |
Vaitiekus et al. Cardiovasc Tolxicol. 2020. | OR: 3.44, 95% CI: 1.40–8.47 (LVEF≤55%) | Breast, Controls: 54.8 (9.0), Cases: 52.9 (10.3) | 81 | Not specified | Doxorubicin | ||
Lipshultz et al. Cancer. 2013. | rs179945/rs1800562 | SF z-score: −0.93 (p=0.003) | Childhood ALL, Median: 6.3 (<1–17.9) | 184 | 6.1 (1.0–16.1) | Doxorubicin | |
Visscher et al. Pediatr Blood Cancer. 2013. | HNMT | rs17645700 | OR: 0.56, 95% CI: 0.37–0.86 (SF≤26%) | Childhood, Range: 0–18 | 218 | Range: 0.4–31.6 | Doxorubicin, Daunorubicin, Epirubicin |
Visscher et al. Pediatr Blood Cancer. 2013. | rs17583889 | OR: 1.67, 95% CI: 1.15–2.41 (SF≤26%) | Childhood, Range: 0–18 | 218 | Range: 0.4–31.6 | Doxorubicin, Daunorubicin, Epirubicin | |
Wojnowski et al. Circulation. 2005. | NCF4 | rs1883112 | OR; 2.5, 95% CI: 1.3–5.1 (chronic ACT) | NHL, Range: 18–75 | 537 | Up to 5 years | Doxorubicin |
Megias-Vericat et al. Pharmacogenomics J. 2017. | OR: 5.2, 95% CI: 1.4–18.9 (acute cardiac dysfunction) | AML, Median 52.5 (16–78) | 225 | Mean: 37 days (95% CI: 35–39 days) | Idarubicin | ||
Krajinovik wt al. Pharmacogenomics J. 2015. | NOS3 | rs1799983 | 8%, p=0.02 (LVEF increase) | Childhood ALL, Range: 0–18 | 251 | Range: 0 – >5 | Doxorubicin |
Sagi et al. BMC Cancer.2018. | NQO1 | rs1043470 | 2.1%, p-0.006 (SF decline) | Childhood ALL, 6.4 (4.3) | 622 | Range: 5–10 | Not specified |
Hildebrandt et al. Sci Rep. 2017. | PLCE1 | rs9327264 | OR: 0.36, 95% CI: 0.18–0.76 (clinical diagnosis ACT) | Childhood, Cases: 9.2 (4.7), Controls: 9.3 (5.7) | 108 | 15.8 | Not specified |
Wells et al. Pharmacogenet Genomics. 2017. | PRDM2 | rs7542939 | Decline in LVEF | Mixed, Range: 40–61 | 556 | IQR: 122–755 days | Doxorubicin, Doxorubicin liposoma, Daunorubicin, Epirubicin, Idarubicin |
Armenian et al. Br J Haematol. 2013. | RAC2 | rs13058338 | OR: 2.61, 95% CI: 1.46–4.69 (heart failure) | Leukemia, Lymphoma, Range: 3–17 | 255 | Range: 0.2–15.9 | Not specified |
Wojnowski et al. Circulation. 2005. | rs1883112 | OR: 2.5, 95% CI: 1.3–5.0 (chronic ACT) | NHL, Range 18–75 | 537 | Up to 5 years | Doxorubicin | |
Megias-Vericat et al. Pharmacogenomics J. 2017. | OR: 5.2, 95% CI: 1.4–18.9 (cardiac dysfunction) | AML, Median 52.5 (16–78) | 225 | Mean: 37 days (95% CI: 35–39 days) | Idarubicin | ||
Aminkeng et al. Nat Genet. 2015. | RARG | rs2229774 | OR: 4.7, 95% CI: 2.7–8.3 (heart failure/SF≤24%) | Childhood, ≤ 18 | 376 | Not specified | Not specified |
Visscher et al. Pediatr Blood Cancer. 2013. | SLC10A2 | rs7319981 | OR: 0.66, 95% CI: 0.47–0.93 (SF≤26%) | Childhood, Range: 0–18 | 218 | Range: 0.4–31.6 | Doxorubicin, Daunorubicin, Epirubicin |
Visscher et al. Pediatr Blood Cancer. 2013. | rs9514091 | OR: 0.57, 95% CI: 0.38–0.87 (SF≤26%) | Childhood, Range: 0–18 | 218 | Range: 0.4–31.6 | Doxorubicin, Daunorubicin, Epirubicin | |
Sagi et al. BMC Cancer.2018. | SLC22A6 | rs6591722 | 2.9%, p=0.006 (SF decline) | Childhood ALL, 6.4 (4.3) | 622 | Range: 5–10 | Not specified |
Visscher et al. Pharmacogenomics. 2015. | SLC22A7 | rs4149178 | OR: 0.45, 95% CI: 0.26–0.75 (SF≤26%) | Childhood, Range: 0.04–17.7 | 562 | Range: 0.1–29.8 | Doxorubicin, Daunorubicin |
Visscher et al. Pharmacogenomics. 2015. | SLC22A17 | rs4982753 | OR: 0.50, 95% CI: 0.33–0.75 (SF≤26%) | Childhood, Range: 0.04–17.7 | 562 | Range: 0.1–29.8 | Doxorubicin, Daunorubicin |
Visscher et al. Pediatr Blood Cancer. 2013. | SLC28A1 | rs2290271 | OR: 0.66, 95% CI: 0.48–0.91 (SF≤26%) | Childhood, Range: 0–18 | 218 | Range: 0.4–31.6 | Doxorubicin, Daunorubicin, Epirubicin |
Visscher et al. Pediatr Blood Cancer. 2013. | SLC28A3 | rs7853758 | OR: 0.36, 95% CI: 0.22–0.60 (SF≤26%) | Childhood, Range: 0–18 | 218 | Range: 0.4–31.6 | Doxorubicin, Daunorubicin, Epirubicin |
Visscher et al. Pediatr Blood Cancer. 2013. | rs885004 | OR: 0.34, 95% CI: 0.20–0.60 (SF≤26%) | Childhood, Range: 0–18 | 218 | Range: 0.4–31.6 | Doxorubicin, Daunorubicin, Epirubicin | |
Visscher et al. Pediatr Blood Cancer. 2013. | rs4877847 | OR: 0.73, 95% CI: 0.54–0.98 (SF≤26%) | Childhood, Range: 0–18 | 218 | Range: 0.4–31.6 | Doxorubicin, Daunorubicin, Epirubicin | |
Visscher et al. Pediatr Blood Cancer. 2013. | SPG7 | rs2019604 | OR: 0.56, 95% CI: 0.35 – 0.9) (SF≤26%) | Childhood, Range: 0–18 | 218 | Range: 0.4–31.6 | Doxorubicin, Daunorubicin, Epirubicin |
Visscher et al. Pediatr Blood Cancer. 2013. | SULT2B1 | rs10426377 | OR: 0.56, 95% CI: 0.38–0.81 (SF≤26%) | Childhood, Range: 0–18 | 218 | Range: 0.4–31.6 | Doxorubicin, Daunorubicin, Epirubicin |
Garcia-Pavia et al. Circulation. 2019. | TTN | TTNtvs | Increased incidence of cardiomyopathy (LVEF<53% and ≥10% reduction from baseline); | Adult and Childhood, Three cohorts: 48.7(17.1), 49.6(10.8), 10.8(5.6) | 213 | Range: 0.7–7.0 | Doxorubicin, Daunorubicin, Epirubicin, Mitoxantrone |
Visscher et al. Pediatr Blood Cancer. 2013. | UGT1A6 | rs17863783 | OR: 4.30, 95% CI: 1.97–9.36 (SF≤26%) | Childhood, Range: 0–18 | 218 | Range: 0.4–31.6 | Doxorubicin, Daunorubicin, Epirubicin |
Visscher et al. Pediatr Blood Cancer. 2013. | rs4261716 | OR: 1.44, 95% CI: 1.06–1.95 (SF≤26%) | Childhood, Range: 0–18 | 218 | Range: 0.4–31.6 | Doxorubicin, Daunorubicin, Epirubicin | |
Visscher et al. Pediatr Blood Cancer. 2013. | rs6759892 | OR: 1.43, 95% CI: 1.05–3.04 (SF≤26%) | Childhood, Range: 0–18 | 218 | Range: 0.4–31.6 | Doxorubicin, Daunorubicin, Epirubicin |
INNATE SUSCEPTIBILITY TO ANTHRACYCLINE-INDUCED CARDIOMYOPATHY
Anthracycline induced cardiotoxicity is assessed in different ways, with the majority of studies defining cardiotoxicity as a significant decrease in left ventricular shortening fraction (SF) or left ventricular ejection fraction (LVEF), or as clinical symptoms of cardiac disease. Temporality of onset is divided into acute, early-onset chronic, and late-onset chronic cardiotoxicity. The majority of genetic susceptibility studies focus on early-onset chronic toxicity, the most common type of ACT, that presents as asymptomatic decline in LVEF/SF and progresses to symptomatic HF over time.10
The risk of ACT increases with higher cumulative doses (standardized to doxorubicin equivalents),11 shorter infusion duration, and demographic and medical factors have been found to increase risk as well, including pre-existing cardiovascular conditions, hypertension, diabetes, receipt of additional cardiotoxic drugs and/or mediastinal radiotherapy, female sex, and age <4 years or >65 years.10, 12–14 However, even within low and high risk populations, there is considerable variability in incidence of ACT, suggesting that there is likely an innate susceptibility that comes into play.
THE GENETIC LANDSCAPE OF ANTHRACYCLINE-INDUCED CARDIOMYOPATHY
Given the suspicion for a genetic risk factor contribution to ACT, an increasing body of literature has explored this connection. However, the variability in ACT definition, measurement of ACT and timing of ACT assessment pose variability in drawing broad conclusions. The most prevalent type of study assessing genetic risk of ACT development to date have been candidate gene analyses. Candidate genes are explored based on previously identified biological associations and with a focus on genes involved in anthracycline binding and metabolism as well as genes involved in the cardiotoxicity pathway, particularly in the generation of ROS. Unbiased, genome-wide association studies (GWAS) have also been performed, though less frequently. While the effect size of variants associated with cardiotoxicity are typically larger than those associated with cancer development, the impact on echocardiogram findings can be quite small and difficult to discern clinical significance. Here, we seek to detail these studies and to place them along a continuum of rigor ranging from biased candidate gene approaches to unbiased genome studies to independent replication in model systems.
GENES INVOLVED IN TRANSPORT AND CLEARANCE
ABC-encoded ATP Binding Cassette
The ABC family includes 49 genes that encode a family of transmembrane proteins found in multiple cell types, including the myocardium, that use adenosine triphosphate (ATP) to serve as active transporters.15 ABC transporters play an important part in protecting against xenobiotics and serve to export multiple chemotherapeutics, including anthracyclines from cardiac cells.16 The transporters encoded by ABCC1 and ABCB1 transport doxorubicin and play a role in tumor multidrug resistance.17, 18 The ABCB4 and ABCC2 genes encode transporters primarily involved in phospholipid and bile acid transport, however have also been shown to transport doxorubicin.19, 20 The protein encoded by the ABCC5 gene primarily transports cyclic nucleotides, though doxorubicin transport has also been demonstrated.21 Variants in these ABC genes that decrease or interfere with expression will lead to accumulation of anthracyclines in cardiomyocytes and thus increased risk of ACT. In particular, a synonymous variant in ABCC1 (T>C, rs246221) has been associated with reduced SF among childhood acute lymphoblastic leukemia (ALL) and reduced LVEF among breast cancer survivors.22, 23 Other ABCC1 variants associated with ACT include a variant in the 3’ UTR (C>T, rs3743527) associated with decreased SF in childhood ALL survivors, a G>T missense variant leading to Gly671Val (rs45511401) associated with an increased risk of acute ACT in non-Hodgkin lymphoma (NHL) patients, and a G>T intron variant (rs4148350) associated with increased odds of clinically depressed SF by >2-fold in childhood cancer survivors (CCSs).22, 24, 25 Other polymorphisms in the ABC family that have been associated with increased risk of ACT in the childhood cancer survivor population include: an A>C intron variant (rs2235047) in ABCB1 and a non-coding transcript variant (A>G, rs4148808) in ABCB4 which were both associated with depressed SF; a C>G missense variant (rs3740066) leading to Ile1324Met in ABCC2 was associated with reduced SF; a variant in ABCC5 in the upstream region (A>T, rs7627754) conferred reductions in both LVEF and SF; ABCC2 Val1188Glu-Cys1515Tyr haplotype (rs8187694-rs8187710) was associated with ~2-fold increase in acute ACT; and the missense variant (rs8187710) leading to Cys1515Try increased the risk of HF by >4-fold.24–28 In breast cancer survivors, a C>T synonymous variant (rs1045642) in ABCB1 reduced the risk of depressed LVEF.29
While the studies that have assessed polymorphisms in the ABC gene family have primarily been candidate gene analyses, as opposed to GWAS, investigators have consistently found an association with increased risks of ACT. In fact, the ABC gene family has some of the most robust evidence pointing to its involvement in ACT risk thus far and the majority of studies have included large populations of survivors with adequate follow-up time. Supporting the role of SNPs in the ABC gene family in increasing the risk of ACT, 40% of a cohort of 15 CCSs with early onset ACT carried the ABCC2 polymorphism (rs8187710) leading to Cys1515Tyr as described above.30 Use of a broad range of anthracycline dosing and patient-related factors included in these relatively smaller, cohort-based, studies may hinder independent validation. Future directions to further validate these variants include larger studies with well characterized patient populations, as well as functional studies to provide supporting data.
SLC-encoded Solute Carrier Family
The SLC super-family of genes is classified into 65 subfamilies containing over 400 membrane bound transporters involved in the transportation of a wide variety of substances including amino acids, organic and inorganic ions, sugars, essential metals, neurotransmitters, and fatty acids.31 Pharmaceuticals are able to bind to these transporters and cross cell membranes.32 Doxorubicin is a known substrate of SLC22A16 and others in the SLC family are thought to be important for renal anthracycline clearance as well as being expressed in the myocardium.33, 34 Polymorphisms in SLC genes have been found to both increase and decrease the risk of ACT. The protein encoded by SLC22A6 is involved in transport and excretion of organic anions and has been identified as a binding target of doxorubicin.35 In childhood cancer patients, a T>A intron variant (rs6591722) in SLC22A6 was associated with ~3% decrease in SF.26 Several other polymorphisms in this family are protective against ACT in CCSs, these include a G>A synonymous variant (rs7853758) and an a G>A intron variant (rs885004), and an A>C intron variant (rs4877847) in SLC28A3, as well as an A>C intron variant(rs2290271) in SLC28A1, a C>A variant (rs4982753) in the near 3’-flanking region unknown consequence in SLC22A17, an SLC22A7 A>G intron variant (rs4149178), an SLC10A2 variant (G>A, rs7319981), and in SLC10A a G>A intron variant (rs9514091), all of which significantly decreased the risk of reduced SF.25, 36 The role of the SLC family transporters transporters on ACT, aside from acting as direct transporters, is an emerging field of research. One mechanism is through the competition of anthracyclines with the intended substrates of SLC encoded transporters thus disrupting normal cellular function.37 To further investigate the effect of SLC variants on development of ACT future studies could expand to include cancer types other than childhood cancers and include larger cohorts.
GENES INVOLVED IN REGULATION AND METABOLISM
CBR3-encoded Carbonyl Reductase 3
The CBR gene family is involved in metabolism and clearance of anthracyclines. These genes encode proteins that catalyze many active pharmacologic and biologic carbonyl compounds into corresponding alcohols. This is important for the cardiotoxic potential of anthracyclines as the enzymes that they encode catalyze the reduction of anthracyclines to their secondary alcohol metabolites, doxorubicinol and daunorubicinol, which are thought to be major contributors to cardiotoxic effects.1 Studies have found that CBR1 and CBR3 primarily contribute to the formation of these cardiotoxic metabolites, while CBR1 is also involved in anthracycline clearance.38 A missense variant in CBR3 (G>A, rs1056892) leading to Val244Met was associated with reduced LVEF in breast cancer survivors and increased risk of cardiomyopathy in CCSs.29, 30, 39 Given the function of genes in the CBR family, it makes sense that variation in this family could contribute to risk of ACT; however, this has not been well studied. Analysis of larger cohorts across different cancer types is needed, and focus should be placed on evaluating the strength of association for the Val244Met missense variant in CBR3.
CYP-encoded Cytochrome p450
The CYP genes encode enzymes involved in many cellular processes including metabolism of certain external medications and toxins. Variants in these genes are commonly known to affect the breakdown of pharmacotherapies.40 Enzymes encoded by CYP genes are also involved in the metabolism of arachidonic acid, metabolites of which are thought to be involved in the pathophysiology of ACT.41 A C>T intron variant (rs4646450) in CYP3A5 has been associated with ~7-fold increase in odds of SF falling below 38% in the childhood cancer population and an intron variant (rs13249755) in POR (also a cytochrome p450 encoding gene) has been associated with ~3-fold increase in odds of significant LVEF reduction in acute myeloid leukemia patients.26, 42 The protein encoded by CYP3A5 specifically catalyzes the metabolism of steroid hormones, vitamins, and xenobiotics and variants in this gene have also been linked to hypertension.43 POR encodes an oxidoreductase containing binding sites for cofactors that allow for the donation of electrons to all microsomal P450 enzymes.43
RARG-encoded Retinoic Acid Receptor Gamma
RARG encodes a retinoic acid receptor, proteins that act as ligand-dependent regulators of transcription in many different biological processes.44 Expression of RARG is thought to be relatively high in the heart and the encoded retinoic acid receptor has been shown to bind to the TOP2B promotor, a gene with increased activity linked to development of ACT.45–47 Specifically, anthracyclines stabilize the DNA double strand cuts that are mediated by the TOP2B-encoded topoisomerase IIB. This stabilization then leads to DNA double strand breaks, which then leads to the activation of p53, ultimately inducing cardiomyocyte cell death.48 In one of the few GWAS studies investigating the genetic links to ACT, a missense variant (G>A, rs2229774) in RARG leading to Ser427Leu was associated with nearly 5-fold increased odds of symptomatic HF or clinically significant SF depression.49 This same polymorphism was found in 20% of a cohort of CCSs with known ACT.30 There is strong evidence for this association as it has been replicated in several independent patient cohorts. This variant is one of the few with direct supporting functional data. Studies of human induced pluripotent stem cell derived cardiomyocyte (iPSC-CMs) cell lines with the variant had significantly increased cell death, ROS generation, and DNA double stranded breaks after treatment with doxorubicin compared with wild type cells.50
GENES INVOLVED IN REACTIVE OXYGEN SPECIES GENERATION
Genes encoding NAD(P)H Oxidase
NAD(P)H oxidase is an enzyme complex that plays a role in the regulation of neutrophils, essential cells in the body’s inflammatory response.51 In addition to this primary role, the NAD(P)H oxidase complex also functions as a major source of ROS in the myocardium. Overexpression and increased activity of NAD(P)H in the myocardium can lead to increases in ROS that induce a cycle of remodeling involving hypertrophy and apoptosis, that can eventually lead to congestive heart failure.52 As generation of ROS is thought to be a key factor in the cardiotoxicity of anthracyclines, this finding may be even more meaningful in patients treated with anthracyclines. Polymorphisms in the genes that encode several of the NAD(P)H subunits have been found to be associated with ACT.
CYBA-encoded Cytochrome b-245 Alpha Chain
The CYBA gene encodes the cytochrome b-245 alpha chain subunit of the NAD(P)H oxidase enzyme complex. It partners with a beta chain from the CYBB gene and both of these chains are required for NAD(P)H to function.51 A missense variant in CYBA leading to His72Tyr (rs4673) has been associated with a 2-fold increased risk of chronic ACT in NHL survivors, and was found in 1/3 of CCSs with known ACT.24, 30 While it is difficult to compare studies with different endpoint definitions, this same variant has been found to be protective against ACT in adult leukemia survivors, and in a histological autopsy study of patients treated with anthracyclines, was protective against focal myocardial necrosis.53, 54 Future studies are needed to clarify the association of this specific SNP with ACT and also to determine whether other SNPs in this gene may also be associated with ACT predisposition.
NCF4-encoded Neutrophil Cytosolic Factor 4
The NCF4 gene encodes the neutrophil cytosolic factor 4 protein subunit in NAD(P)H.55 NCF4, a G>A intron variant (rs1883112) has been associated with a 2.5-fold increase in chronic ACT in NHL survivors and ~5-fold increased risk in adult leukemia patients.24, 54 In autopsy findings, this same polymorphism was also associated with increased odds of cardiac fibrosis.53 These findings consistently point to the association of this G>A intron SNP in NCF4 with ACT; however, larger studies across more cancer types are needed to confirm this finding.
RAC2-encoded Rac Family Small GTPase 2
RAC2 encodes a small guanosine triphosphate metabolizing protein that is a regulatory subunit essential for the activation of NAD(P)H oxidase.56 RAC2 has also been identified as a regulator of atherosclerotic calcification.57 There is less evidence of the influence of polymorphisms in RAC2 impacting risk of ACT, compared with the previously mentioned genes encoding different NAD(P)H oxidase subunits. An intron variant (T>A, rs13058338) in RAC2 was found to increase the odds of HF by almost 3-fold in CCSs.28
GSTM1–encoded Glutathione S-Transferase mu 1
The protein encoded by GSTM1 is a detoxification enzyme that catalyzes glutathione conjugation to electrophilic compounds (including anthracyclines), playing a role in protection against ROS.43 Any variant that reduces expression or functionality of GSTM1 should thus increase risk of ROS-mediated cardiotoxicity. A study assessing the impact of GSTM1 null genotype both clinically among CCSs and using iPSC-CMs to quantify gene expression, found that survivors with the null genotype had ~3-fold greater odds of a clinical diagnosis of ACT compared with the GSTM1 positive phenotype. The iPSC-CMs derived from patients with ACT showed significantly reduced expression of GSTM1 compared with those derived from controls.58
HFE-encoded Homeostatic Iron Regulator
The HFE gene is primarily involved in maintaining the body’s iron homeostasis by encoding proteins that regulate iron sensing and absorption.59 Iron load has been found to be a risk factor for ACT, with an increased free iron load shown to potentiate ACT, as free iron can facilitate ROS formation.60 Variation in HFE has been associated with increased risk of ACT in both childhood and breast cancer survivors. Specifically, a C>G missense variant (rs1799945) in HFE leading to His63Asp was found to increase the odds of HF by ~2.5-fold in CCSs, and in breast cancer survivors, this polymorphism was associated with ~3.5-fold increased odds of depressed LVEF.28, 61 This same variant, along with a G>A missense variant (rs1899562) leading to Cys282Tyr, are both associated with increased cardiac iron deposition, and in survivors of childhood leukemia, were associated with depressed SF.62, 63 While not robust, early evidence does point to the likelihood of SNPs in the HFE gene impacting ACT, potentially through the modulation of myocardial iron deposition.
NOS3-encoded Nitric Oxide Synthase 3
NOS3 encodes an enzyme responsible for producing nitric oxide (NO). The gene is primarily expressed in the heart endothelial tissue and plays a key role in regulation of NO, a vasodilator that has a cardioprotective role.64 There is evidence that anthracyclines induce NOS expression in the heart and increase the ability of nitric oxide synthase proteins to promote anthracycline production of ROS.65 An NOS3 missense variant leading to a Glu298Asp replacement (rs1799983) has been found to be cardioprotective in high risk ALL patients, conferring an average of 8% increase in LVEF. In childhood cancer patients with confirmed ACT, 80% carried a variant in NOS3 rs1799983.27, 30 In iPSC-CMs, differential expression of NOS3 was noted between those derived from breast cancer survivors with ACT and those without, however specific variants were not assessed in that study.66 Given the role of NO in the heart and the association of NOS3 with anthracycline ROS production variation in the NOS3 gene should be a focus of future studies.
GENES INVOLVED IN THE SARCOMERIC SKELETON
TTN-encoded Titin
The TTN gene encodes titin which has important regulatory and structural roles in cardiac muscle. It is involved in sarcomere formation, myofilament contraction, and in structural regulation and signaling of the cardiac sarcomeres. There is strong evidence that truncating variants in TTN (TTNtv) are associated with familial cardiomyopathies and TTN has been identified as one of the most common genetic causes of dilated cardiomyopathy.67 Emerging evidence has shown that TTNtvs may be associated with susceptibility to ACT as well based on evidence from targeted sequencing studies. In a case study of two breast cancer patients who developed severe early ACT, genetic screening found a TTNtv in both patients.68 A larger study including both childhood and adult cancer survivors found that 7.5% of survivors with ACT hosted a TTNtv, compared with ~1% of control populations, and those adult survivors who did have a TTNtv had a significantly higher burden of HF, atrial fibrillation, and impaired myocardial recovery.69 Despite the known association of TTNtvs with familial cardiomyopathies, this was one of the first large studies to assess whether TTNtvs may also increase the risk of ACT and the evidence of an association is compelling, though further study is needed.
OTHERS
Several other genetic variants have been associated with risk of ACT, though have not yet been found across multiple studies.26, 36, 70–76 Similarly to genes that have been studied more frequently, other genes that have been looked at are primarily those involved in drug metabolism and excretion (UGT1A6, SULT2B1, FMO3 and FMO3, SPG7), propagation of ROS (CAT, NQO1, ADH7, ETFB), known association with cardiac conditions/hypertension (PLCE1, ATP2B), and genes involved in DNA regulation in the heart and in cardiac remodeling after injury (CELF4, HAS3, PRDM2). The specific relationship of other genes that have been found to be associated with increased risk of ACT is still somewhat unknown and deserves further exploration in future studies. This includes HNMT.
CLINCICAL ACTIONABILITY AND THE PROMISE OF GENOMIC MEDICINE
In current clinical practice there are several strategies in place aimed at ACT secondary prevention and early detection, including pharmacologic intervention and screening to detect subclinical ACT. Primary prevention relies on modification of anthracycline administration and co-administration of cardioprotective agents. In adults, liposomal-encapsulated doxorubicin has promised to be less cardiotoxic than traditional doxorubicin, though this has not been studied well in the pediatric population.77 Longer infusion times have proved effective in decreasing ACT in adults and in children, the cardioprotectant dexrazoxane is used in high-risk individuals and treatment regimens.78 In the childhood cancer survivor population, there are risk prediction models to assess risk of treatment related cardiotoxicity.12, 79 However, these only take into account cardiotoxic exposures and are not routinely performed prior to treatment. Thus, there is no well-established approach to determining risk before anthracycline exposure based on patient genotype and no consensus guidance on whether monitoring for cardiotoxic sequelae needs to be modified based on genetic risk. Further, there are no consensus guidelines for implementing the outcomes of such risk-assessment testing through alterations in dosing, frequency, or introduction of cardioprotective measures. In the adult cancer survivor population, pre-treatment ACT risk assessment currently focuses on age, sex, medical history, cardiac history, cardiac biomarkers, and health behaviors.80 Emerging data in the pediatric cancer population have shown that incorporation of genetic data into an ACT risk prediction model had higher prediction accuracy than a model including clinical factors alone.81 Additionally, a clinical trial has recently been completed with the aim of combining genetic screening, novel biomarkers, and imaging strategies to develop a risk-prediction model to identify pediatric patients who are most susceptible to ACT prior to beginning treatment.82 Taken together with clinical practice recommendations groups beginning to recommend genetic screening in children for certain variants prior to doxorubicin or daunorubicin treatment,9 increased use of predictive genomic medicine in this arena is promising.
CONCLUSIONS
A growing body of data shows a link between innate genetic variation and risk of ACT. The majority of studies have focused on targeted genotyping of genes encoding products known to be involved in anthracycline metabolism or thought to be involved in the cardiotoxicity pathway. While this approach has yielded initial important data, additional functional studies are needed to confirm findings and further characterize the clinical impact of variants. Additionally, as evidence behind the genetic link to ACT continues to increase and as the cost of whole genome sequencing continues to decrease while efficiency increases,83 this powerful tool should be harnessed to assess risk of ACT prior to treatment initiation.
FUNDING
APL is supported by the National Institutes of Health (NIH) K08-HL136839, the Pediatric and Congenital Electrophysiology Society Paul C. Gillette Award, Baylor College of Medicine Department of Pediatrics, and Duke University School of Medicine. AMB is supported by the NIH R38-HL143612 and the Duke Pediatric Research Scholars Program.
Footnotes
Conflicts of Interest: The authors have no conflicts of interest to disclose.
Data Availability Statement:
Data sharing not applicable – no new data generated.
REFERENCES
- 1.Sagi JC, Kutszegi N, Kelemen A, Fodor LE, Gezsi A, Kovacs GT, Erdelyi DJ, Szalai C and Semsei AF. Pharmacogenetics of anthracyclines. Pharmacogenomics. 2016;17:1075–87. [DOI] [PubMed] [Google Scholar]
- 2.Hortobagyi GN. Anthracyclines in the treatment of cancer. An overview. Drugs. 1997;54 Suppl 4:1–7. [DOI] [PubMed] [Google Scholar]
- 3.Temming P, Qureshi A, Hardt J, Leiper AD, Levitt G, Ancliff PJ and Webb DK. Prevalence and predictors of anthracycline cardiotoxicity in children treated for acute myeloid leukaemia: retrospective cohort study in a single centre in the United Kingdom. Pediatr Blood Cancer. 2011;56:625–30. [DOI] [PubMed] [Google Scholar]
- 4.Kremer LC and Caron HN. Anthracycline cardiotoxicity in children. N Engl J Med. 2004;351:120–1. [DOI] [PubMed] [Google Scholar]
- 5.Bates JE, Howell RM, Liu Q, Yasui Y, Mulrooney DA, Dhakal S, Smith SA, Leisenring WM, Indelicato DJ, Gibson TM, Armstrong GT, Oeffinger KC and Constine LS. Therapy-Related Cardiac Risk in Childhood Cancer Survivors: An Analysis of the Childhood Cancer Survivor Study. J Clin Oncol. 2019;37:1090–1101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Bagnasco F, Caruso S, Andreano A, Valsecchi MG, Jankovic M, Biondi A, Miligi L, Casella C, Terenziani M, Massimino M, Sacerdote C, Morsellino V, Erminio G, Garaventa A, Faraci M, Micalizzi C, Garre ML, Pillon M, Basso G, Biasin E, Fagioli F, Rondelli R, Pession A, Locatelli F, Santoro N, Indolfi P, Palumbo G, Russo G, Verzegnassi F, Favre C, Zecca M, Mura R, D’Angelo P, Cano C, Byrne J, Haupt R and Registry O-A. Late mortality and causes of death among 5-year survivors of childhood cancer diagnosed in the period 1960–1999 and registered in the Italian Off-Therapy Registry. Eur J Cancer. 2019;110:86–97. [DOI] [PubMed] [Google Scholar]
- 7.Henriksen PA. Anthracycline cardiotoxicity: an update on mechanisms, monitoring and prevention. Heart. 2018;104:971–977. [DOI] [PubMed] [Google Scholar]
- 8.Chow EJ, Chen Y, Kremer LC, Breslow NE, Hudson MM, Armstrong GT, Border WL, Feijen EA, Green DM, Meacham LR, Meeske KA, Mulrooney DA, Ness KK, Oeffinger KC, Sklar CA, Stovall M, van der Pal HJ, Weathers RE, Robison LL and Yasui Y. Individual prediction of heart failure among childhood cancer survivors. J Clin Oncol. 2015;33:394–402. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Aminkeng F, Ross CJ, Rassekh SR, Hwang S, Rieder MJ, Bhavsar AP, Smith A, Sanatani S, Gelmon KA, Bernstein D, Hayden MR, Amstutz U, Carleton BC and Group CCPR. Recommendations for genetic testing to reduce the incidence of anthracycline-induced cardiotoxicity. Br J Clin Pharmacol. 2016;82:683–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Saleh Y, Abdelkarim O, Herzallah K and Abela GS. Anthracycline-induced cardiotoxicity: mechanisms of action, incidence, risk factors, prevention, and treatment. Heart Fail Rev. 2020. [DOI] [PubMed] [Google Scholar]
- 11.Feijen EA, Leisenring WM, Stratton KL, Ness KK, van der Pal HJ, Caron HN, Armstrong GT, Green DM, Hudson MM, Oeffinger KC, Robison LL, Stovall M, Kremer LC and Chow EJ. Equivalence Ratio for Daunorubicin to Doxorubicin in Relation to Late Heart Failure in Survivors of Childhood Cancer. J Clin Oncol. 2015;33:3774–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Chen Y, Chow EJ, Oeffinger KC, Border WL, Leisenring WM, Meacham LR, Mulrooney DA, Sklar CA, Stovall M, Robison LL, Armstrong GT and Yasui Y. Traditional Cardiovascular Risk Factors and Individual Prediction of Cardiovascular Events in Childhood Cancer Survivors. J Natl Cancer Inst. 2020;112:256–265. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Van Dalen EC, Van der Pal HJ and Kremer LC. Different dosage schedules for reducing cardiotoxicity in people with cancer receiving anthracycline chemotherapy. Cochrane Database Syst Rev. 2016;3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Screever EM, Meijers WC and Moslehi JJ. Age-Related Considerations in Cardio-Oncology. J Cardiovasc Pharmacol Ther. 2021;26:103–113. [DOI] [PubMed] [Google Scholar]
- 15.Cascorbi I Role of pharmacogenetics of ATP-binding cassette transporters in the pharmacokinetics of drugs. Pharmacol Ther. 2006;112:457–73. [DOI] [PubMed] [Google Scholar]
- 16.Couture L, Nash J and Turgeon J. Role of ATP-binding cassette transporters in drug distribution to the heart and protection from toxic compounds. Heart Metabolism. 2007;35:16–21. [Google Scholar]
- 17.Cole SP. Multidrug resistance protein 1 (MRP1, ABCC1), a “multitasking” ATP-binding cassette (ABC) transporter. J Biol Chem. 2014;289:30880–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Parekh H, Wiesen K and Simpkins H. Acquisition of taxol resistance via P-glycoprotein- and non-P-glycoprotein-mediated mechanisms in human ovarian carcinoma cells. Biochem Pharmacol. 1997;53:461–70. [DOI] [PubMed] [Google Scholar]
- 19.Huang JF, Wen CJ, Zhao GZ, Dai Y, Li Y, Wu LX and Zhou HH. Overexpression of ABCB4 contributes to acquired doxorubicin resistance in breast cancer cells in vitro. Cancer Chemother Pharmacol. 2018;82:199–210. [DOI] [PubMed] [Google Scholar]
- 20.Thorn CF, Oshiro C, Marsh S, Hernandez-Boussard T, McLeod H, Klein TE and Altman RB. Doxorubicin pathways: pharmacodynamics and adverse effects. Pharmacogenet Genomics. 2011;21:440–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Pratt S, Shepard RL, Kandasamy RA, Johnston PA, Perry W 3rd and Dantzig AH. The multidrug resistance protein 5 (ABCC5) confers resistance to 5-fluorouracil and transports its monophosphorylated metabolites. Mol Cancer Ther. 2005;4:855–63. [DOI] [PubMed] [Google Scholar]
- 22.Semsei AF, Erdelyi DJ, Ungvari I, Csagoly E, Hegyi MZ, Kiszel PS, Lautner-Csorba O, Szabolcs J, Masat P, Fekete G, Falus A, Szalai C and Kovacs GT. ABCC1 polymorphisms in anthracycline-induced cardiotoxicity in childhood acute lymphoblastic leukaemia. Cell Biol Int. 2012;36:79–86. [DOI] [PubMed] [Google Scholar]
- 23.Vulsteke C, Pfeil AM, Maggen C, Schwenkglenks M, Pettengell R, Szucs TD, Lambrechts D, Dieudonne AS, Hatse S, Neven P, Paridaens R and Wildiers H. Clinical and genetic risk factors for epirubicin-induced cardiac toxicity in early breast cancer patients. Breast Cancer Res Treat. 2015;152:67–76. [DOI] [PubMed] [Google Scholar]
- 24.Wojnowski L, Kulle B, Schirmer M, Schluter G, Schmidt A, Rosenberger A, Vonhof S, Bickeboller H, Toliat MR, Suk EK, Tzvetkov M, Kruger A, Seifert S, Kloess M, Hahn H, Loeffler M, Nurnberg P, Pfreundschuh M, Trumper L, Brockmoller J and Hasenfuss G. NAD(P)H oxidase and multidrug resistance protein genetic polymorphisms are associated with doxorubicin-induced cardiotoxicity. Circulation. 2005;112:3754–62. [DOI] [PubMed] [Google Scholar]
- 25.Visscher H, Rassekh SR, Sandor GS, Caron HN, van Dalen EC, Kremer LC, van der Pal HJ, Rogers PC, Rieder MJ, Carleton BC, Hayden MR, Ross CJ and consortium C. Genetic variants in SLC22A17 and SLC22A7 are associated with anthracycline-induced cardiotoxicity in children. Pharmacogenomics. 2015;16:1065–76. [DOI] [PubMed] [Google Scholar]
- 26.Sagi JC, Egyed B, Kelemen A, Kutszegi N, Hegyi M, Gezsi A, Herlitschke MA, Rzepiel A, Fodor LE, Ottoffy G, Kovacs GT, Erdelyi DJ, Szalai C and Semsei AF. Possible roles of genetic variations in chemotherapy related cardiotoxicity in pediatric acute lymphoblastic leukemia and osteosarcoma. BMC Cancer. 2018;18:704. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Krajinovic M, Elbared J, Drouin S, Bertout L, Rezgui A, Ansari M, Raboisson MJ, Lipshultz SE, Silverman LB, Sallan SE, Neuberg DS, Kutok JL, Laverdiere C, Sinnett D and Andelfinger G. Polymorphisms of ABCC5 and NOS3 genes influence doxorubicin cardiotoxicity in survivors of childhood acute lymphoblastic leukemia. Pharmacogenomics J. 2016;16:530–535. [DOI] [PubMed] [Google Scholar]
- 28.Armenian SH, Ding Y, Mills G, Sun C, Venkataraman K, Wong FL, Neuhausen SL, Senitzer D, Wang S, Forman SJ and Bhatia S. Genetic susceptibility to anthracycline-related congestive heart failure in survivors of haematopoietic cell transplantation. Br J Haematol. 2013;163:205–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Hertz DL, Caram MV, Kidwell KM, Thibert JN, Gersch C, Seewald NJ, Smerage J, Rubenfire M, Henry NL, Cooney KA, Leja M, Griggs JJ and Rae JM. Evidence for association of SNPs in ABCB1 and CBR3, but not RAC2, NCF4, SLC28A3 or TOP2B, with chronic cardiotoxicity in a cohort of breast cancer patients treated with anthracyclines. Pharmacogenomics. 2016;17:231–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.McOwan TN, Craig LA, Tripdayonis A, Karavendzas K, Cheung MM, Porrello ER, Conyers R and Elliott DA. Evaluating anthracycline cardiotoxicity associated single nucleotide polymorphisms in a paediatric cohort with early onset cardiomyopathy. Cardiooncology. 2020;6:5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Schaller L and Lauschke VM. The genetic landscape of the human solute carrier (SLC) transporter superfamily. Hum Genet. 2019;138:1359–1377. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.He L, Vasiliou K and Nebert DW. Analysis and update of the human solute carrier (SLC) gene superfamily. Hum Genomics. 2009;3:195–206. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Chen S, Sutiman N, Zhang CZ, Yu Y, Lam S, Khor CC and Chowbay B. Pharmacogenetics of irinotecan, doxorubicin and docetaxel transporters in Asian and Caucasian cancer patients: a comparative review. Drug Metab Rev. 2016;48:502–540. [DOI] [PubMed] [Google Scholar]
- 34.Huang KM, Hu S and Sparreboom A. Drug transporters and anthracycline-induced cardiotoxicity. Pharmacogenomics. 2018;19:883–888. [DOI] [PubMed] [Google Scholar]
- 35.Chen S, Wang X, Ye X, Ma D, Chen C, Cai J, Fu Y, Cheng X, Chen Y, Gong X and Jin J. Identification of Human UMP/CMP Kinase 1 as Doxorubicin Binding Target Using Protein Microarray. SLAS Discov. 2017;22:1007–1015. [DOI] [PubMed] [Google Scholar]
- 36.Visscher H, Ross CJ, Rassekh SR, Sandor GS, Caron HN, van Dalen EC, Kremer LC, van der Pal HJ, Rogers PC, Rieder MJ, Carleton BC, Hayden MR and Consortium C. Validation of variants in SLC28A3 and UGT1A6 as genetic markers predictive of anthracycline-induced cardiotoxicity in children. Pediatr Blood Cancer. 2013;60:1375–81. [DOI] [PubMed] [Google Scholar]
- 37.Anderson JT, Huang KM, Lustberg MB, Sparreboom A and Hu S. Solute Carrier Transportome in Chemotherapy-Induced Adverse Drug Reactions. Rev Physiol Biochem Pharmacol. 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Piska K, Koczurkiewicz P, Bucki A, Wojcik-Pszczola K, Kolaczkowski M and Pekala E. Metabolic carbonyl reduction of anthracyclines - role in cardiotoxicity and cancer resistance. Reducing enzymes as putative targets for novel cardioprotective and chemosensitizing agents. Invest New Drugs. 2017;35:375–385. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Blanco JG, Sun CL, Landier W, Chen L, Esparza-Duran D, Leisenring W, Mays A, Friedman DL, Ginsberg JP, Hudson MM, Neglia JP, Oeffinger KC, Ritchey AK, Villaluna D, Relling MV and Bhatia S. Anthracycline-related cardiomyopathy after childhood cancer: role of polymorphisms in carbonyl reductase genes--a report from the Children’s Oncology Group. J Clin Oncol. 2012;30:1415–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Genetics Home Reference. Cytochrome p450. 2020. [Google Scholar]
- 41.Maayah ZH, Abdelhamid G, Elshenawy OH, El-Sherbeni AA, Althurwi HN, McGinn E, Dawood D, Alammari AH and El-Kadi AOS. The Role of Soluble Epoxide Hydrolase Enzyme on Daunorubicin-Mediated Cardiotoxicity. Cardiovasc Toxicol. 2018;18:268–283. [DOI] [PubMed] [Google Scholar]
- 42.Lubieniecka JM, Graham J, Heffner D, Mottus R, Reid R, Hogge D, Grigliatti TA and Riggs WK. A discovery study of daunorubicin induced cardiotoxicity in a sample of acute myeloid leukemia patients prioritizes P450 oxidoreductase polymorphisms as a potential risk factor. Front Genet. 2013;4:231. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Stelzer G, Rosen N, Plaschkes I, Zimmerman S, Twik M, Fishilevich S, Stein TI, Nudel R, Lieder I, Mazor Y, Kaplan S, Dahary D, Warshawsky D, Guan-Golan Y, Kohn A, Rappaport N, Safran M and Lancet D. The GeneCards Suite: From Gene Data Mining to Disease Genome Sequence Analyses. Curr Protoc Bioinformatics. 2016;54:1 30 1–1 30 33. [DOI] [PubMed] [Google Scholar]
- 44.National Center for Biotechnology Information. RARG retinoic acid receptor gamma [ Homo sapiens (human) ]. 2020.
- 45.Zhang S, Liu X, Bawa-Khalfe T, Lu LS, Lyu YL, Liu LF and Yeh ET. Identification of the molecular basis of doxorubicin-induced cardiotoxicity. Nat Med. 2012;18:1639–42. [DOI] [PubMed] [Google Scholar]
- 46.Bilbija D, Haugen F, Sagave J, Baysa A, Bastani N, Levy FO, Sirsjo A, Blomhoff R and Valen G. Retinoic acid signalling is activated in the postischemic heart and may influence remodelling. PLoS One. 2012;7:e44740. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Delacroix L, Moutier E, Altobelli G, Legras S, Poch O, Choukrallah MA, Bertin I, Jost B and Davidson I. Cell-specific interaction of retinoic acid receptors with target genes in mouse embryonic fibroblasts and embryonic stem cells. Mol Cell Biol. 2010;30:231–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Yeh ETH, Ewer MS, Moslehi J, Dlugosz-Danecka M, Banchs J, Chang HM and Minotti G. Mechanisms and clinical course of cardiovascular toxicity of cancer treatment I. Oncology. Semin Oncol. 2019;46:397–402. [DOI] [PubMed] [Google Scholar]
- 49.Aminkeng F, Bhavsar AP, Visscher H, Rassekh SR, Li Y, Lee JW, Brunham LR, Caron HN, van Dalen EC, Kremer LC, van der Pal HJ, Amstutz U, Rieder MJ, Bernstein D, Carleton BC, Hayden MR, Ross CJ and Canadian Pharmacogenomics Network for Drug Safety C. A coding variant in RARG confers susceptibility to anthracycline-induced cardiotoxicity in childhood cancer. Nat Genet. 2015;47:1079–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Christidi E, Huang H, Shafaattalab S, Maillet A, Lin E, Huang K, Laksman Z, Davis MK, Tibbits GF and Brunham LR. Variation in RARG increases susceptibility to doxorubicin-induced cardiotoxicity in patient specific induced pluripotent stem cell-derived cardiomyocytes. Sci Rep. 2020;10:10363. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.CYBA - cytochrome b-245 alpha chain (human). 2020;2020.
- 52.Heymes C, Bendall JK, Ratajczak P, Cave AC, Samuel JL, Hasenfuss G and Shah AM. Increased myocardial NADPH oxidase activity in human heart failure. J Am Coll Cardiol. 2003;41:2164–71. [DOI] [PubMed] [Google Scholar]
- 53.Cascales A, Pastor-Quirante F, Sanchez-Vega B, Luengo-Gil G, Corral J, Ortuno-Pacheco G, Vicente V and de la Pena FA. Association of anthracycline-related cardiac histological lesions with NADPH oxidase functional polymorphisms. Oncologist. 2013;18:446–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Megias-Vericat JE, Montesinos P, Herrero MJ, Moscardo F, Boso V, Rojas L, Martinez-Cuadron D, Rodriguez-Veiga R, Sendra L, Cervera J, Poveda JL, Sanz MA and Alino SF. Impact of NADPH oxidase functional polymorphisms in acute myeloid leukemia induction chemotherapy. Pharmacogenomics J. 2018;18:301–307. [DOI] [PubMed] [Google Scholar]
- 55.Genetics Home Reference. NCF4 Gene. 2020. [Google Scholar]
- 56.Genetics Home Reference. RAC2 gene. 2020. [Google Scholar]
- 57.Ceneri N, Zhao L, Young BD, Healy A, Coskun S, Vasavada H, Yarovinsky TO, Ike K, Pardi R, Qin L, Qin L, Tellides G, Hirschi K, Meadows J, Soufer R, Chun HJ, Sadeghi MM, Bender JR and Morrison AR. Rac2 Modulates Atherosclerotic Calcification by Regulating Macrophage Interleukin-1beta Production. Arterioscler Thromb Vasc Biol. 2017;37:328–340. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Singh P, Wang X, Hageman L, Chen Y, Magdy T, Landier W, Ginsberg JP, Neglia JP, Sklar CA, Castellino SM, Dreyer ZE, Hudson MM, Robison LL, Blanco JG, Relling MV, Burridge P and Bhatia S. Association of GSTM1 null variant with anthracycline-related cardiomyopathy after childhood cancer-A Children’s Oncology Group ALTE03N1 report. Cancer. 2020;126:4051–4058. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Genetics Home Reference. HFE gene. 2020. [Google Scholar]
- 60.Link G, Tirosh R, Pinson A and Hershko C. Role of iron in the potentiation of anthracycline cardiotoxicity: identification of heart cell mitochondria as a major site of iron-anthracycline interaction. J Lab Clin Med. 1996;127:272–8. [DOI] [PubMed] [Google Scholar]
- 61.Vaitiekus D, Muckiene G, Vaitiekiene A, Sereikaite L, Inciuraite R, Insodaite R, Cepuliene D, Kupcinskas J, Ugenskiene R, Jurkevicius R and Juozaityte E. HFE Gene Variants’ Impact on Anthracycline-Based Chemotherapy-Induced Subclinical Cardiotoxicity. Cardiovasc Toxicol. 2020. [DOI] [PubMed] [Google Scholar]
- 62.Lipshultz SE, Lipsitz SR, Kutok JL, Miller TL, Colan SD, Neuberg DS, Stevenson KE, Fleming MD, Sallan SE, Franco VI, Henkel JM, Asselin BL, Athale UH, Clavell LA, Michon B, Laverdiere C, Larsen E, Kelly KM and Silverman LB. Impact of hemochromatosis gene mutations on cardiac status in doxorubicin-treated survivors of childhood high-risk leukemia. Cancer. 2013;119:3555–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Cascales A, Sanchez-Vega B, Navarro N, Pastor-Quirante F, Corral J, Vicente V and de la Pena FA. Clinical and genetic determinants of anthracycline-induced cardiac iron accumulation. Int J Cardiol. 2012;154:282–6. [DOI] [PubMed] [Google Scholar]
- 64.Genetics Home Reference. NOS3 gene. 2020. [Google Scholar]
- 65.Fogli S, Nieri P and Breschi MC. The role of nitric oxide in anthracycline toxicity and prospects for pharmacologic prevention of cardiac damage. FASEB J. 2004;18:664–75. [DOI] [PubMed] [Google Scholar]
- 66.Burridge PW, Li YF, Matsa E, Wu H, Ong SG, Sharma A, Holmstrom A, Chang AC, Coronado MJ, Ebert AD, Knowles JW, Telli ML, Witteles RM, Blau HM, Bernstein D, Altman RB and Wu JC. Human induced pluripotent stem cell-derived cardiomyocytes recapitulate the predilection of breast cancer patients to doxorubicin-induced cardiotoxicity. Nat Med. 2016;22:547–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Herman DS, Lam L, Taylor MR, Wang L, Teekakirikul P, Christodoulou D, Conner L, DePalma SR, McDonough B, Sparks E, Teodorescu DL, Cirino AL, Banner NR, Pennell DJ, Graw S, Merlo M, Di Lenarda A, Sinagra G, Bos JM, Ackerman MJ, Mitchell RN, Murry CE, Lakdawala NK, Ho CY, Barton PJ, Cook SA, Mestroni L, Seidman JG and Seidman CE. Truncations of titin causing dilated cardiomyopathy. The New England journal of medicine. 2012;366:619–28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Linschoten M, Teske AJ, Baas AF, Vink A, Dooijes D, Baars HF and Asselbergs FW. Truncating Titin (TTN) Variants in Chemotherapy-Induced Cardiomyopathy. J Card Fail. 2017;23:476–479. [DOI] [PubMed] [Google Scholar]
- 69.Garcia-Pavia P, Kim Y, Restrepo-Cordoba MA, Lunde IG, Wakimoto H, Smith AM, Toepfer CN, Getz K, Gorham J, Patel P, Ito K, Willcox JA, Arany Z, Li J, Owens AT, Govind R, Nunez B, Mazaika E, Bayes-Genis A, Walsh R, Finkelman B, Lupon J, Whiffin N, Serrano I, Midwinter W, Wilk A, Bardaji A, Ingold N, Buchan R, Tayal U, Pascual-Figal DA, de Marvao A, Ahmad M, Garcia-Pinilla JM, Pantazis A, Dominguez F, John Baksi A, O’Regan DP, Rosen SD, Prasad SK, Lara-Pezzi E, Provencio M, Lyon AR, Alonso-Pulpon L, Cook SA, DePalma SR, Barton PJR, Aplenc R, Seidman JG, Ky B, Ware JS and Seidman CE. Genetic Variants Associated With Cancer Therapy-Induced Cardiomyopathy. Circulation. 2019;140:31–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Rajic V, Aplenc R, Debeljak M, Prestor VV, Karas-Kuzelicki N, Mlinaric-Rascan I and Jazbec J. Influence of the polymorphism in candidate genes on late cardiac damage in patients treated due to acute leukemia in childhood. Leuk Lymphoma. 2009;50:1693–8. [DOI] [PubMed] [Google Scholar]
- 71.Hildebrandt MAT, Reyes M, Wu X, Pu X, Thompson KA, Ma J, Landstrom AP, Morrison AC and Ater JL. Hypertension Susceptibility Loci are Associated with Anthracycline-related Cardiotoxicity in Long-term Childhood Cancer Survivors. Sci Rep. 2017;7:9698. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Wang X, Liu W, Sun CL, Armenian SH, Hakonarson H, Hageman L, Ding Y, Landier W, Blanco JG, Chen L, Quinones A, Ferguson D, Winick N, Ginsberg JP, Keller F, Neglia JP, Desai S, Sklar CA, Castellino SM, Cherrick I, Dreyer ZE, Hudson MM, Robison LL, Yasui Y, Relling MV and Bhatia S. Hyaluronan synthase 3 variant and anthracycline-related cardiomyopathy: a report from the children’s oncology group. J Clin Oncol. 2014;32:647–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Wang X, Sun CL, Quinones-Lombrana A, Singh P, Landier W, Hageman L, Mather M, Rotter JI, Taylor KD, Chen YD, Armenian SH, Winick N, Ginsberg JP, Neglia JP, Oeffinger KC, Castellino SM, Dreyer ZE, Hudson MM, Robison LL, Blanco JG and Bhatia S. CELF4 Variant and Anthracycline-Related Cardiomyopathy: A Children’s Oncology Group Genome-Wide Association Study. J Clin Oncol. 2016;34:863–70. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Ruiz-Pinto S, Pita G, Martin M, Alonso-Gordoa T, Barnes DR, Alonso MR, Herraez B, Garcia-Miguel P, Alonso J, Perez-Martinez A, Carton AJ, Gutierrez-Larraya F, Garcia-Saenz JA, Benitez J, Easton DF, Patino-Garcia A and Gonzalez-Neira A. Exome array analysis identifies ETFB as a novel susceptibility gene for anthracycline-induced cardiotoxicity in cancer patients. Breast Cancer Res Treat. 2018;167:249–256. [DOI] [PubMed] [Google Scholar]
- 75.Wells QS, Veatch OJ, Fessel JP, Joon AY, Levinson RT, Mosley JD, Held EP, Lindsay CS, Shaffer CM, Weeke PE, Glazer AM, Bersell KR, Van Driest SL, Karnes JH, Blair MA, Lagrone LW, Su YR, Bowton EA, Feng Z, Ky B, Lenihan DJ, Fisch MJ, Denny JC and Roden DM. Genome-wide association and pathway analysis of left ventricular function after anthracycline exposure in adults. Pharmacogenet Genomics. 2017;27:247–254. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Leger KJ, Cushing-Haugen K, Hansen JA, Fan W, Leisenring WM, Martin PJ, Zhao LP and Chow EJ. Clinical and Genetic Determinants of Cardiomyopathy Risk among Hematopoietic Cell Transplantation Survivors. Biol Blood Marrow Transplant. 2016;22:1094–1101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.van Dalen EC, Michiels EM, Caron HN and Kremer LC. Different anthracycline derivates for reducing cardiotoxicity in cancer patients. Cochrane Database Syst Rev. 2010:CD005006. [DOI] [PubMed] [Google Scholar]
- 78.Armenian SH, Armstrong GT, Aune G, Chow EJ, Ehrhardt MJ, Ky B, Moslehi J, Mulrooney DA, Nathan PC, Ryan TD, van der Pal HJ, van Dalen EC and Kremer LCM. Cardiovascular Disease in Survivors of Childhood Cancer: Insights Into Epidemiology, Pathophysiology, and Prevention. J Clin Oncol. 2018;36:2135–2144. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Armenian SH, Yang D, Teh JB, Atencio LC, Gonzales A, Wong FL, Leisenring WM, Forman SJ, Nakamura R and Chow EJ. Prediction of cardiovascular disease among hematopoietic cell transplantation survivors. Blood Adv. 2018;2:1756–1764. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Lyon AR, Dent S, Stanway S, Earl H, Brezden-Masley C, Cohen-Solal A, Tocchetti CG, Moslehi JJ, Groarke JD, Bergler-Klein J, Khoo V, Tan LL, Anker MS, von Haehling S, Maack C, Pudil R, Barac A, Thavendiranathan P, Ky B, Neilan TG, Belenkov Y, Rosen SD, Iakobishvili Z, Sverdlov AL, Hajjar LA, Macedo AVS, Manisty C, Ciardiello F, Farmakis D, de Boer RA, Skouri H, Suter TM, Cardinale D, Witteles RM, Fradley MG, Herrmann J, Cornell RF, Wechelaker A, Mauro MJ, Milojkovic D, de Lavallade H, Ruschitzka F, Coats AJS, Seferovic PM, Chioncel O, Thum T, Bauersachs J, Andres MS, Wright DJ, Lopez-Fernandez T, Plummer C and Lenihan D. Baseline cardiovascular risk assessment in cancer patients scheduled to receive cardiotoxic cancer therapies: a position statement and new risk assessment tools from the Cardio-Oncology Study Group of the Heart Failure Association of the European Society of Cardiology in collaboration with the International Cardio-Oncology Society. Eur J Heart Fail. 2020;22:1945–1960. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Chaix MA, Parmar N, Kinnear C, Lafreniere-Roula M, Akinrinade O, Yao R, Miron A, Lam E, Meng GL, Christie A, Manickaraj AK, Marjerrison S, Dillenburg R, Bassal M, Lougheed J, Zelcer S, Rosenberg H, Hodgson D, Sender L, Kantor P, Manlhiot C, Ellis J, Mertens L, Nathan PC and Mital S. Machine Learning Identifies Clinical and Genetic Factors Associated With Anthracycline Cardiotoxicity in Pediatric Cancer Survivors. Jacc-Cardiooncol. 2020;2:690–706. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Skitch A, Mital S, Mertens L, Liu P, Kantor P, Grosse-Wortmann L, Manlhiot C, Greenberg M and Nathan PC. Novel approaches to the prediction, diagnosis and treatment of cardiac late effects in survivors of childhood cancer: a multi-centre observational study. BMC Cancer. 2017;17:519. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Kingsmore SF. Newborn testing and screening by whole-genome sequencing. Genet Med. 2016;18:214–6. [DOI] [PubMed] [Google Scholar]
Associated Data
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Data Availability Statement
Data sharing not applicable – no new data generated.